Latest AI and machine learning research in pain management for healthcare professionals.
OBJECTIVE: Machine learning (ML) is expected to play an increasing role within primary health care (...
Esophagectomy is a high-risk operation, regardless of technique. Minimally invasive transthoracic es...
Computations of placebo effects are essential in randomized controlled trials (RCTs) for separating ...
Considering human brain disorders, Major Depressive Disorder (MDD) is seen as a lethal disease in wh...
Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pat...
The purpose of this narrative review is to provide a critical reflection of how analytical machine l...
Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke and heart...
Deep neural networks (DNNs) capture complex relationships among variables, however, because they req...
Recent relation extraction models' architecture are evolved from the shallow neural networks to natu...
Electroencephalography (EEG) is commonly used to measure the depth of anesthesia (DOA) because EEG r...
Entity relation extraction plays an important role in the biomedical, healthcare, and clinical resea...
Nondestructive evaluation of carbon fiber reinforced material structures has received special attent...
BACKGROUND: Osteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies hav...
This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model f...
OBJECTIVE: The treatment of Camurati-Engelmann disease (CED) involves the use of glucocorticoids, an...
BACKGROUND: Chest pain is amongst the most common reason for presentation to the emergency departmen...
Recent work has highlighted that people who have had TIA may have abnormal motor and cognitive funct...
Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants ha...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...
Traditionally, analysis of neuropathological markers in neurodegenerative diseases has relied on vis...
Genome-wide loss-of-function screens have revealed genes essential for cancer cell proliferation, ca...